Stars
Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.
NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments
SDK for creating Hugging Face Inference Endpoints deployments
Inference server benchmarking tool
Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec.
GPUd automates monitoring, diagnostics, and issue identification for GPUs
Minimalistic large language model 3D-parallelism training
Large Language Model Text Generation Inference
LSP server leveraging LLMs for code completion (and more?)
Home of StarCoder: fine-tuning & inference!
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The official CLI and Python client for the Hugging Face Hub.
Interpret Machine Learning black-box models deployed on Serving Engine
Exposes a serialized machine learning model through a HTTP API.
Erlenmeyer is a proxy used to parse common Open Source TimeSeries DataBase query endpoints like OpenTSDB, Prometheus/PromQL, InfluxQL or Graphite. Parsed queries are translated into WarpScript to p…
Kubernetes autoscaler for deployments that consume queue in RMQ
Desktop python client for using OVH Prescience service